IDEAS home Printed from https://ideas.repec.org/p/ces/ceswps/_10527.html

Mobility Restrictions and Alcohol Use during Lockdown: “A Still and Dry Pandemic for the Many"?

Author

Listed:
  • Martina Celidoni
  • Joan Costa-i-Font
  • Luca Salmasi

Abstract

Unexpected mobility disruptions during lockdown during the first wave of COVID-19 became ‘tipping points’ with the potential to alter pre-pandemic routines sensitive to socialisation. This paper investigates the impact of lockdown exposure on alcohol consumption. We document two findings using information from the Google Mobility Report and longitudinal data from the Understanding Society in the United Kingdom. First, we find a sharp reduction in both actual mobility and alcohol use (consistent with a “still and dry pandemic for the many” hypothesis). However, we document an increase in alcohol use among heavy drinkers, implying a split behavioural response to COVID-19 mobility restrictions based on alcohol use prior to the pandemic. Second, using the predictions of the prevalence-response elasticity theory, we find that the pandemic’s reduction in social contacts is responsible for a 2.8 percentage point reduction in drinking among men.

Suggested Citation

  • Martina Celidoni & Joan Costa-i-Font & Luca Salmasi, 2023. "Mobility Restrictions and Alcohol Use during Lockdown: “A Still and Dry Pandemic for the Many"?," CESifo Working Paper Series 10527, CESifo.
    • Handle: RePEc:ces:ceswps:_10527
    as

    Download full text from publisher

    File URL: https://www.ifo.de/DocDL/cesifo1_wp10527.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. John Mullahy, 1999. "It'll only hurt a second? Microeconomic determinants of who gets flu shots," Health Economics, John Wiley & Sons, Ltd., vol. 8(1), pages 9-24, February.
    2. Tomas Philipson, 1996. "Private Vaccination and Public Health: An Empirical Examination for U.S. Measles," Journal of Human Resources, University of Wisconsin Press, vol. 31(3), pages 611-630.
    3. Damian Clarke & Kathya Tapia-Schythe, 2021. "Implementing the panel event study," Stata Journal, StataCorp LLC, vol. 21(4), pages 853-884, December.
    4. Battiston, Pietro & Gamba, Simona, 2021. "COVID-19: R0 is lower where outbreak is larger," Health Policy, Elsevier, vol. 125(2), pages 141-147.
    5. Avner Ahituv & V. Joseph Hotz & Tomas Philipson, 1996. "The Responsiveness of the Demand for Condoms to the Local Prevalence of AIDS," Journal of Human Resources, University of Wisconsin Press, vol. 31(4), pages 869-897.
    6. Oster, Emily, 2012. "HIV and sexual behavior change: Why not Africa?," Journal of Health Economics, Elsevier, vol. 31(1), pages 35-49.
    7. Fenichel, Eli P., 2013. "Economic considerations for social distancing and behavioral based policies during an epidemic," Journal of Health Economics, Elsevier, vol. 32(2), pages 440-451.
    8. Heckman, J.J. & Smith, J.A., 1995. "Ashenfelter's Dip and the Determinants of Participation in a Social Program: Implications for Simple Program Evaluation Strategies," University of Western Ontario, Departmental Research Report Series 9505, University of Western Ontario, Department of Economics.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Battiston, Pietro & Gamba, Simona, 2021. "COVID-19: R0 is lower where outbreak is larger," Health Policy, Elsevier, vol. 125(2), pages 141-147.
    2. Graff Zivin, Joshua & Neidell, Matthew, 2009. "Days of haze: Environmental information disclosure and intertemporal avoidance behavior," Journal of Environmental Economics and Management, Elsevier, vol. 58(2), pages 119-128, September.
    3. Matthew Neidell, 2009. "Information, Avoidance Behavior, and Health: The Effect of Ozone on Asthma Hospitalizations," Journal of Human Resources, University of Wisconsin Press, vol. 44(2).
    4. Sarkar, Jayanta, 2022. "Do disease prevalence and severity drive COVID-19 vaccine demand?," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 310-319.
    5. Giulietti, Corrado & Vlassopoulos, Michael & Zenou, Yves, 2023. "When reality bites: Local deaths and vaccine take-up," European Economic Review, Elsevier, vol. 156(C).
    6. Toxvaerd, Flavio, 2010. "Recurrent Infection and Externalities in Prevention," CEPR Discussion Papers 8112, C.E.P.R. Discussion Papers.
    7. John Mullahy, 1999. "It'll only hurt a second? Microeconomic determinants of who gets flu shots," Health Economics, John Wiley & Sons, Ltd., vol. 8(1), pages 9-24, February.
    8. Francis, Andrew M. & Mialon, Hugo M., 2010. "Tolerance and HIV," Journal of Health Economics, Elsevier, vol. 29(2), pages 250-267, March.
    9. Momota, Akira & Tabata, Ken & Futagami, Koichi, 2005. "Infectious disease and preventive behavior in an overlapping generations model," Journal of Economic Dynamics and Control, Elsevier, vol. 29(10), pages 1673-1700, October.
    10. Gabriel Picone & Robyn Kibler & Benedicte Apouey, 2013. "Individuals� Preventive Behavioral Response to Changes in Malaria Risks and Government Interventions: Evidence from six African countries," Working Papers 0313, University of South Florida, Department of Economics.
    11. Francis, Andrew M. & Mialon, Hugo M. & Peng, Handie, 2012. "In sickness and in health: Same-sex marriage laws and sexually transmitted infections," Social Science & Medicine, Elsevier, vol. 75(8), pages 1329-1341.
    12. M. V. Lee Badgett & Christopher S. Carpenter & Maxine J. Lee & Dario Sansone, 2024. "A Review of the Economics of Sexual Orientation and Gender Identity," Journal of Economic Literature, American Economic Association, vol. 62(3), pages 948-994, September.
    13. Francis, Andrew M., 2008. "The economics of sexuality: The effect of HIV/AIDS on homosexual behavior in the United States," Journal of Health Economics, Elsevier, vol. 27(3), pages 675-689, May.
    14. Humlum, Maria Knoth & Morthorst, Marius Opstrup & Thingholm, Peter Rønø, 2024. "Sibling spillovers and the choice to get vaccinated: Evidence from a regression discontinuity design," Journal of Health Economics, Elsevier, vol. 94(C).
    15. Baril-Tremblay, Dominique & Marlats, Chantal & Ménager, Lucie, 2021. "Self-isolation," Journal of Mathematical Economics, Elsevier, vol. 93(C).
    16. Kumar, Anuj & Srivastava, Prashant K. & Gupta, R.P., 2019. "Nonlinear dynamics of infectious diseases via information-induced vaccination and saturated treatment," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 157(C), pages 77-99.
    17. Martin-Lapoirie, Dylan & McColl, Kathleen & Gallopel-Morvan, Karine & Arwidson, Pierre & Raude, Jocelyn, 2024. "Health protective behaviours during the COVID-19 pandemic: Risk adaptation or habituation?," Social Science & Medicine, Elsevier, vol. 342(C).
    18. Auld, M. Christopher, 2003. "Choices, beliefs, and infectious disease dynamics," Journal of Health Economics, Elsevier, vol. 22(3), pages 361-377, May.
    19. Marlène Guillon & Josselin Thuilliez, 2015. "HIV and Rational risky behaviors: a systematic review of published empirical literature (1990-2013)," Documents de travail du Centre d'Economie de la Sorbonne 15065, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    20. Joseph Cook & Marc Jeuland & Brian Maskery & Donald Lauria & Dipika Sur & John Clemens & Dale Whittington, 2009. "Using private demand studies to calculate socially optimal vaccine subsidies in developing countries," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 28(1), pages 6-28.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ces:ceswps:_10527. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/cesifde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.